Deep Learning Transcends the Bag of Words

           Tweet Previous post Tags: Beer, Deep Learning, Generative Models, Recurrent Neural Networks, Zachary Lipton Generative RNNs are now widely popular, many modeling text at the character level. While character-level modeling is enticing on account of its generality and computational advantages, such RNNs typically generate text in an unsupervised fashion. This post shows how to generate contextually relevant character-level text and explains a couple recent papers that perform the task successfully. comments By Zachary Chase Lipton Deep learning has risen to prominence, both delighting and enraging computer scientists, following a number of breakthrough results on difficult classification tasks. Convolutional neural networks demonstrate an unprecedented ability to recognize objects in images. A variety of neural networks have similarly revolutionized the field of speech recognition. In machine learning parlance, these…


Link to Full Article: Deep Learning Transcends the Bag of Words

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about homeAI.info and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!